Evidence map›Paper›PMID 27751900›Full record

ArticleThe American journal of medicine2017

Trends in Incidence of Hospitalized Acute Myocardial Infarction in the Cardiovascular Research Network (CVRN).

Kristi Reynolds, Alan S Go, Thomas K Leong, Denise M Boudreau, Andrea E Cassidy-Bushrow, Stephen P Fortmann, Robert J Goldberg, Jerry H Gurwitz, David J Magid, Karen L Margolis and 11 more

Abstract read
In one paragraph

Article in The American journal of medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 13 institutions in 1 country.

Kristi ReynoldsDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, Calif. Electronic address: Kristi.Reynolds@kp.org.
Alan S GoDivision of Research, Kaiser Permanente Northern California, Oakland, Calif; Departments of Epidemiology, Biostatistics, and Medicine, University of California, San Francisco, Calif; Department of Health Research and Policy, Stanford University School of Medicine, Calif.
Thomas K LeongDivision of Research, Kaiser Permanente Northern California, Oakland, Calif.
Denise M BoudreauGroup Health Research Institute, Seattle, Wash.
Andrea E Cassidy-BushrowDepartment of Public Health Sciences, Henry Ford Health System, Detroit, Mich.
Stephen P FortmannKaiser Permanente Center for Health Research, Portland, Ore.
Robert J GoldbergDepartment of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Pa.
Jerry H GurwitzMeyers Primary Care Institute, A Joint Endeavor of Fallon Health, Reliant Medical Group, and University of Massachusetts Medical School, Worcester, Pa.
David J MagidColorado Permanente Medical Group, Denver; Colorado School of Public Health, University of Colorado Denver, Aurora; Colorado Cardiovascular Outcomes Research Consortium, Denver.
Karen L MargolisHealthPartners Institute for Education and Research, Minneapolis, Minn.
Catherine J McNealDivision of Cardiology, Department of Internal Medicine, Baylor Scott & White Health, Temple, Tex.
Katherine M NewtonGroup Health Research Institute, Seattle, Wash.
Rachel NovotnyHuman Nutrition, Food and Animal Science Department, College of Tropical Agriculture and Human Resources, University of Hawaii at Manoa, Honolulu.
Charles P QuesenberryDivision of Research, Kaiser Permanente Northern California, Oakland, Calif.
Wayne D RosamondDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill.
David H SmithKaiser Permanente Center for Health Research, Portland, Ore.
Jeffrey J VanWormerCenter for Clinical Epidemiology and Population Health, Marshfield Clinic Research Foundation, Wis.
Suma VupputuriMid-Atlantic Permanente Research Institute, Kaiser Permanente Mid-Atlantic States, Rockville, Md.
Stephen C WaringDivision of Research, Essentia Institute of Rural Health, Duluth, Minn.
Marc S WilliamsGenomic Medicine Institute, Geisinger Health System, Danville, Pa.
Stephen SidneyDivision of Research, Kaiser Permanente Northern California, Oakland, Calif.
Kaiser Permanente · USKaiser Permanente Center for Health Research · USKaiser Permanente Washington Health Research Institute · USUniversity of Massachusetts Chan Medical School · USBaylor Scott & White Health · USColorado School of Public Health · USEssentia Health · USGeisinger Health System · USHealthPartners · USHenry Ford Health System · USMarshfield Clinic · USUniversity of Hawaiʻi at Mānoa · USUniversity of North Carolina at Chapel Hill · US

Funding

HMO Research Network Cardiovascular Research NetworkU19HL091179 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI GO, ALAN S · 2007 to 2011
$8.7M
Development of a Cardiovascular Surveillance System in the CVRNRC2HL101666 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI SIDNEY, STEPHEN · 2009 to 2010
$7.2M
NHLBI NIH HHS RC2 HL101666NHLBI NIH HHS U19 HL091179
6 · The paper itself

Abstract

backgroundMonitoring trends in cardiovascular events can provide key insights into the effectiveness of prevention efforts. Leveraging data from electronic health records provides a unique opportunity to examine contemporary, community-based trends in acute myocardial infarction hospitalizations.

methodsWe examined trends in hospitalized acute myocardial infarction incidence among adults aged ≥25 years in 13 US health plans in the Cardiovascular Research Network. The first hospitalization per member for acute myocardial infarction overall and for ST-segment elevation myocardial infarction and non-ST-segment elevation myocardial infarction was identified by International Classification of Diseases, Ninth Revision, Clinical Modification primary discharge codes in each calendar year from 2000 through 2008. Age- and sex-adjusted incidence was calculated per 100,000 person-years using direct adjustment with 2000 US census data.

resultsBetween 2000 and 2008, we identified 125,435 acute myocardial infarction hospitalizations. Age- and sex-adjusted incidence rates (per 100,000 person-years) of acute myocardial infarction decreased an average 3.8%/y from 230.5 in 2000 to 168.6 in 2008. Incidence of ST-segment elevation myocardial infarction decreased 8.7%/y from 104.3 in 2000 to 51.7 in 2008, whereas incidence of non-ST-segment elevation myocardial infarction increased from 126.1 to 129.4 between 2000 and 2004 and then decreased thereafter to 116.8 in 2008. Age- and sex-specific incidence rates generally reflected similar patterns, with relatively larger decreases in ST-segment elevation myocardial infarction rates in women compared with men. As compared with 2000, the age-adjusted incidence of ST-segment elevation myocardial infarction in 2008 was 48% lower among men and 61% lower among women. CONCLUSIONS AND RELEVANCE: Among a large, diverse, multicenter community-based insured population, there were significant decreases in incidence of hospitalized acute myocardial infarction and the more serious ST-segment elevation myocardial infarctions between 2000 and 2008. Decreases in ST-segment elevation myocardial infarctions were most pronounced among women. While ecologic in nature, these secular decreases likely reflect, at least in part, results of improvement in primary prevention efforts.

Indexed as

AdultAgedAge FactorsFemaleHospitalizationHumansIncidenceMaleMiddle AgedMyocardial InfarctionNon-ST Elevated Myocardial InfarctionSex FactorsUnited StatesAcute myocardial infarctionCardiovascular diseaseEpidemiologySex differencesTrends

Identifiers

PMID27751900
PMCPMC5318252
OpenAlexW2539149961

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.